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How To Solve Data Readiness Bottlenecks With AI Agents

Jan 09, 2025 - forbes.com
The article discusses the challenges enterprises face in preparing data for AI applications, noting that data readiness is a significant hurdle, often consuming 80% of an AI project's effort. Traditionally, companies rely on costly and repetitive manual processes to prepare data, but the emergence of AI agents offers a solution. AI agents can autonomously or semi-autonomously perform tasks such as data quality checks, data standardization, and generating readiness scores, which can reduce preparation costs, speed up turnaround times, and ensure compliance.

The article highlights the benefits of using AI agents for data readiness, including reduced costs and faster market entry. It also emphasizes the importance of understanding data silos, securing stakeholder buy-in, and continuously monitoring data quality. Trends in the industry include the development of use-case-specific AI agents and their integration with business applications. As AI agents evolve into fully autonomous systems, they could minimize the need for human intervention, providing companies with a competitive edge.

Key takeaways:

  • AI agents can automate data quality checks, standardization, and readiness scoring, reducing manual efforts and costs.
  • Businesses can benefit from faster turnaround times and improved compliance by using AI agents for data readiness.
  • Understanding data silos and securing stakeholder buy-in are crucial for successful AI agent implementation.
  • Trends include the development of use-case-specific AI agents and their integration with business applications.
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